Identification of the Fracture Process in Gas Pipeline Steel Based on the Analysis of AE Signals

The paper presents the results of tests conducted to identify the damage process in specimens collected from the steel of a gas pipeline. The tests concerned specimens made of S235 steel subject to quasi-static loading—uniaxial tension until failure. Acoustic emission (AE) signals were recorded duri...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Materials Ročník 15; číslo 7; s. 2659
Hlavní autori: Świt, Grzegorz, Dzioba, Ihor, Adamczak-Bugno, Anna, Krampikowska, Aleksandra
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Switzerland MDPI AG 04.04.2022
MDPI
Predmet:
Acoustic emission
Acoustics
Cluster analysis
Clustering
Damage detection
Elongation
Frequency spectrum
Gas pipelines
Laboratories
Natural gas
Sensors
Signal processing
Structural steels
Tensile strength
Time-frequency analysis
Vector quantization
gas pipeline steel
acoustic emission
fracture process
time-frequency analysis
wavelet analysis
k-means algorithm
ISSN:1996-1944, 1996-1944
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:The paper presents the results of tests conducted to identify the damage process in specimens collected from the steel of a gas pipeline. The tests concerned specimens made of S235 steel subject to quasi-static loading—uniaxial tension until failure. Acoustic emission (AE) signals were recorded during the loading process along with force and elongation signals. Sections were collected from previously loaded specimens and subjected to microstructural examinations to determine the nature of material damage at different strain stages. The recorded AE signals were analyzed using the k-means clustering method, as well as time-frequency analysis. The results of metallographic tests and analysis of AE signals identified frequency spectra characteristic of different stages of the process of material damage.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1996-1944
1996-1944
DOI:10.3390/ma15072659